Python code used to determine average yearly and monthly tourism per 1000 residents for public-supply water service areas

Description

This child item describes Python code used to estimate average yearly and monthly tourism per 1000 residents within public-supply water service areas. Increases in population due to tourism may impact amounts of water used by public-supply water systems. This data release contains model input datasets, Python code used to develop the tourism information, and output estimates of tourism. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Output from this code was used as an input feature in the public supply delivery and water use machine learning models. This page includes the following files: tourism_input_data.zip - a zip file containing input data sets used by the tourism Python code tourism_output.zip - a zip file with output produced by the tourism Python code README.txt - a README file describing the data files and code requirements tourism_study_code.zip - a zip file containing the Python code used to create the tourism feature variable

Resources

Name Format Description Link
55 The metadata original format https://data.usgs.gov/datacatalog/metadata/USGS.6462530ad34ec179a83b5007.xml
55 Landing page for access to the data https://doi.org/10.5066/P9FUL880

Tags

  • new-york
  • indiana
  • montana
  • utah
  • delaware
  • missouri
  • colorado
  • idaho
  • modeling
  • district-of-columbia
  • new-jersey
  • wyoming
  • south-dakota
  • kentucky
  • tennessee
  • virginia
  • mississippi
  • michigan
  • vermont
  • kansas
  • maine
  • south-carolina
  • arkansas
  • west-virginia
  • texas
  • pennsylvania
  • connecticut
  • maryland
  • california
  • conterminous-united-states
  • arizona
  • north-carolina
  • washington
  • new-hampshire
  • florida
  • water-use
  • wisconsin
  • iowa
  • louisiana
  • public-supply
  • alabama
  • ohio
  • oklahoma
  • rhode-island
  • north-dakota
  • georgia
  • minnesota
  • illinois
  • new-mexico
  • oregon
  • nevada
  • massachusetts
  • usgs-6462530ad34ec179a83b5007
  • nebraska

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